Multimodal Signal Processing for Attentional Resource Cognition

Description

Multimodal Signal Processing for Attentional Resource Cognition (M-SPARC) investigates how Modeling Eye, Brain, Speech, and Behavioral Signals for Cognitive Resource Allocation can deepen our understanding of attentional resource management in human cognition. Attention serves as the brain’s central mechanism for distributing limited cognitive resources across competing information streams. By integrating multimodal data—including brain activity (EEG/fMRI), eye movements, pupilometry, speech, and behavior—M-SPARC aims to develop comprehensive, real-time models of how cognitive resources are allocated and modulated.
The workshop convenes signal processing experts, cognitive neuroscientists, and HCI researchers to explore how multimodal signals can be measured and predicted, how modalities interact in shaping attention, and how targeted interventions might optimize cognitive resource distribution.

Period	4 May 2026
Event type	Workshop
Location	Barcelona, SpainShow on map
Degree of Recognition	International